In this study, we propose a novel multiobjective genetic algorithm (GA) based optimization method for optimizing quantitative sequential patterns. The objective ...
In this section, we describe the proposed method for mining optimized fuzzy sequential patterns by employing a Pareto-optimality based multi-objective GA.
In this study, we propose a novel multi-objective Genetic Algorithm (GA) based optimization method for optimizing quantitative sequential patterns. The ...
Mehmet Kaya , Reda Alhajj: Multi-Objective Genetic Algorithm Based Approach for Optimizing Fuzzy Sequential Patterns. ICTAI 2004: 396-400.
In this paper, we contributed to the ongoing research on FTI sequential pattern mining by proposing a multi objective Genetic Algorithm (GA) based method. Fuzzy ...
An Approach to Optimize Fuzzy Time-Interval Sequential Patterns Using Multi-objective Genetic Algorithm · 11 Citations · 25 References.
[D] Are Genetic Algorithms Dead? : r/MachineLearning - Reddit
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Mar 2, 2023 · Genetic algorithms are still useful for strange objective functions that defy analytical approaches, such as anything based on complex ...
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An Approach to Optimize Fuzzy Time-Interval Sequential Patterns ...
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In this paper, we contributed to the ongoing research on FTI sequential pattern mining by proposing a multi ob- jective Genetic Algorithm (GA) based method.
Presented in this paper is a new genetic algorithm to solve multiple objective sequencing problems in mixed model assembly lines.
Oct 22, 2024 · This study elaborates the application of discrete event simulations and genetic algorithm, using the Tecnomatix Plant Simulation software, to support decision- ...